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Lighting Setups — Numeric Row Ordering + Base-100 Series
x402
Lighting Setups — Numeric Row Ordering + Base-100 Series is a paid API for AI agents from market.datapackvibe.com, paid per call via x402, $0.01/call, status unknown (last checked 2026-10-31).
Ranks lighting setup rows numerically and computes a Base-100 index series for supplied lighting data (light_count, render_seconds) across up to 200 rows.
Price / call$0.01
Success—
StatusUnknown
How this service works
Lighting setups — Numeric row ordering + Base-100 series: Numeric row ordering + Base-100 series for supplied lighting setups records (light_count, render_seconds). Up to 200 rows; 2 independent reports using shared local analytical engines. No live lookup, prediction, professional assessment or external action. 0.01 USDC includes 2 supplied-data reports for up to 200 rows.
Output
Returns two analytical reports: (1) rows ranked in numeric order by the selected field (light_count or render_seconds), and (2) a Base-100 index series normalizing values relative to the specified base_index row, covering up to 200 supplied lighting setup records.
Example use cases
Benchmark render time across scenes
“Here are 6 lighting setups with their render times — can you rank them by render_seconds and show me a Base-100 index starting from the fastest scene so I can see how each one compares?”
Compare light counts across asset groups
“I've got 10 lighting rig records across two asset groups with different light counts — rank them numerically by light_count and give me a Base-100 series using row index 0 as the baseline.”
Track lighting complexity over production dates
“I have 15 lighting setup entries dated across October 2026 — can you order them by light_count and produce a Base-100 index series so I can see how complexity grew over the production schedule?”
Technical details
Endpoint
POSThttps://market.datapackvibe.com/x402/assistant-ib26-creative-11-117?utm_source=zero.xyzWhen to prefer
Choose this endpoint when you have tabular lighting setup data with light_count and/or render_seconds metrics and need both a numeric row ranking and a Base-100 normalized index series in a single call. It is ideal for creative production pipelines comparing scene complexity, render performance, or rig scale across up to 200 records without requiring any external data sources or live lookups.
Side effects
- Empty or missing rows array returns an error
- More than 200 rows exceeds maxItems limit and is rejected
- Invalid date format (not YYYY-MM-DD) fails schema validation
- base_index value out of range (0–199) or exceeding actual row count causes an error
- Null values in the selected metric field may produce incomplete rankings
- Invalid field enum value (not 'light_count' or 'render_seconds') is rejected
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| rows | array | |
| field | string | |
| base_index | integer |
Tags
x402
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